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Bump the compat entry for the test only dependency CategoricalArrays #226

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Merged
ablaom merged 4 commits into from
Dec 7, 2025
Merged

Bump the compat entry for the test only dependency CategoricalArrays #226

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7611174
update the link to the density estimation example
ablaom Dec 4, 2025
b23aa9d
Merge branch 'dev' of https://github.com/alan-turing-institute/MLJMod…
ablaom Dec 7, 2025
11ad872
bump test dep compat CategoricalArrays = "0.10, 1"
ablaom Dec 7, 2025
28e479c
bump 1.12.1
ablaom Dec 7, 2025
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4 changes: 2 additions & 2 deletions Project.toml
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "MLJModelInterface"
uuid = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
authors = ["Thibaut Lienart and Anthony Blaom"]
version = "1.12.0"
version = "1.12.1"

[deps]
InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
Expand All @@ -12,7 +12,7 @@ StatisticalTraits = "64bff920-2084-43da-a3e6-9bb72801c0c9"

[compat]
Aqua = "0.8"
CategoricalArrays = "0.10"
CategoricalArrays = "0.10, 1"
DataFrames = "1"
Distances = "0.10"
InteractiveUtils = "<0.0.1, 1"
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11 changes: 6 additions & 5 deletions docs/src/fitting_distributions.md
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Expand Up @@ -11,10 +11,11 @@ and `X = nothing`.

The `predict` method should return a single distribution.

A working implementation of a model that fits a `UnivariateFinite`
distribution to some categorical data using [Laplace
smoothing](https://en.wikipedia.org/wiki/Additive_smoothing)
controlled by a hyperparameter `alpha` is given
[here](https://github.com/JuliaAI/MLJBase.jl/blob/d377bee1198ec179a4ade191c11fef583854af4a/test/interface/model_api.jl#L36).
A working implementation of a model that fits a `UnivariateFinite` distribution to some
categorical data using [Laplace
smoothing](https://en.wikipedia.org/wiki/Additive_smoothing) controlled by a
hyperparameter `alpha` is given in [MLJBase
tests](https://github.com/JuliaAI/MLJBase.jl/blob/dev/test/resampling.jl); try
[here](https://github.com/JuliaAI/MLJBase.jl/blob/203aae371f67ed639685aa4803e150ff69f0fa49/test/resampling.jl#L1050).


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